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Olivier De Vel

2 accepted papers

2023

Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness

AAAI 2023technical

We present a new algorithm to train a robust malware detector. Malware is a prolific problem and malware detectors are a front-line defense. Modern detectors rely on machine learning algorithms. Now, the adversarial objective is to devise alterations to the malware code to decrease the chance of bei…

Cited by 11SourcePDFScholar
2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection

ICLR 2019poster

Due to the sharp increase in the severity of the threat imposed by software vulnerabilities, the detection of vulnerabilities in binary code has become an important concern in the software industry, such as the embedded systems industry, and in the field of computer security. However, most of the wo…

Cited by 64SourcePDFScholar